Libraries and other institutions are interested in providing access to scanned versions of their large collections of handwritten historical manuscripts on electronic media. Convenient access to a collection requires an index, which is manually created at great labour and expense. Since current handwriting recognizers do not perform well on historical documents, a technique called word spotting...

In this paper, we give an overview on approaches for the graphic extraction, and especially for the image extraction from printed documents. We present also our contribution to this area operating on historical Arab periodicals. The developed method works on monochrome documents and is based on the Gabor filter exploration followed by many post-processing steps. It allows firstly the text/graph...

1. INTRODUCTION. In this paper I shall discuss Plimpton 322, one of the world's most famous ancient mathematical artefacts [Figure 1]. But I also want to explore the ways in which studying ancient mathematics is, or should be, different from researching modern mathematics. One of the most cited analyses of Plimpton 322, published some twenty years ago, was called "Sherlock Holmes in Babylon" [4...

Image mosaicing is a trendy research area in computer vision in recent years. Instead of images, video frames can be mosaiced to form a larger aggregate. In both cases, merging computations generally depend on the common parts in consecutive images, which are called overlapping regions. The presence of mobile devices with a camera provides higher image and video acquisition; hence video mosaici...

This paper proposes a novel algorithm to clean up a large collection of historical handwritten documents kept in the National Archives of Singapore. Due to the seepage of ink over long period of storage, the front page of each document has been severely marred by the reverse side writing. Earlier attempts have been made to match both sides of a page to identify the offending strokes originating...

Historical document collections are a valuable resource for human history. This paper proposes a novel digital image binarization scheme for low quality historical documents allowing further content exploitation in an efficient way. The proposed scheme consists of five distinct steps: a pre-processing procedure using a low-pass Wiener filter, a rough estimation of foreground regions using Nibla...

AmirAbbas Davari, Tobias Lindenberger, Armin Häberle, Vincent Christlein, Andreas Maier, Christian Riess 1. Pattern Recognition Lab, Computer Science Department, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany [amir.davari, tobias.lintob.lindenberger, vincent.christlein, andreas.maier, christian.riess] @fau.de 2. Bibliotheca Hertziana Max-Planck-Institut für Kunstgeschichte...

In this paper we present an approach for the automatic extraction of family relationships from a real-world collection of historical notary acts. We retrieve relationships such as husband wife, parent child, widow of, etc. We study two ways to deal with this problem. In our first approach, we identify all person names in a document, generate all potential candidate pairs of names and predict wh...

The objective of our work is to enable the reading of fragile scrolled historical parchments without the need to physically unravel them, thus providing valuable information to a wide range of scholarly disciplines. This problem has not been investigated by the computer vision community properly yet due to the need for parchment scanning technology: standard x-ray machinery is not sufficient as...

Documents serve an important role in understanding change in urban fabric. The available multidimensional (spatial, temporal and thematic) information in these documents narrate not only the various features of the elements of the urban fabric but also notifies their changes during time. CityGML standard is used to spatially and temporally represent the city objects. But it misses features to r...